Taylor William R
Division of Mathematical Biology, National Institute for Medical Research, The Ridgeway, Mill Hill, London NW7 1AA, UK.
J Mol Biol. 2006 Mar 24;357(2):676-99. doi: 10.1016/j.jmb.2005.12.084. Epub 2006 Jan 17.
A method is described to construct sets of decoy models that can be used to generate a background score distribution for protein structure comparison. The models are derived directly from the two proteins being compared and retain all the essential properties of the structures, including length, density, shape and secondary structure composition but have different folds. As each comparison involves a pair of proteins of the same length, no explicit normalisation is required to adjust for the length of the proteins being compared. This allows substructure (or domain) matches to score almost equally to the comparison of isolated domains. A normalised probability measure was derived that allows joint family/family comparison. The method was applied to some of the CASP6 models for targets with new folds.
本文描述了一种构建诱饵模型集的方法,该模型集可用于生成蛋白质结构比较的背景得分分布。这些模型直接从正在比较的两种蛋白质中派生而来,并保留了结构的所有基本属性,包括长度、密度、形状和二级结构组成,但具有不同的折叠方式。由于每次比较都涉及一对长度相同的蛋白质,因此无需进行明确的归一化来调整所比较蛋白质的长度。这使得子结构(或结构域)匹配与孤立结构域的比较得分几乎相同。推导了一种归一化概率度量,可用于联合家族/家族比较。该方法应用于一些具有新折叠方式的CASP6靶标模型。